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Yu Pei Henry's Projects

2019-dashboard icon 2019-dashboard

Use Travis-CI to automate RepoSense report generation and publish the generated report online to GitHub Page

addressbook-level1 icon addressbook-level1

:ab::one: A Java sample application for students. An AddressBook application written in procedural fashion.

addressbook-level2 icon addressbook-level2

:ab::two: A Java sample application for students. An AddressBook application that uses OOP basics.

cs3241demo icon cs3241demo

Collection of CS3241 projects, done with OpenGL and C++ (with most code omitted to discourage plagiarism for the school module).

ethminer icon ethminer

Ethereum miner with OpenCL, CUDA and stratum support

glsl icon glsl

Experimenting with rendering

learningresources icon learningresources

:books: A collection of learning resources for Software Engineering students

multiattrcnn icon multiattrcnn

Real-world Image Recognition for Multiple Human Attributes

pggan-pytorch icon pggan-pytorch

:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:

pokemon_gan icon pokemon_gan

This is the code for "Generating Pokemon with a Generative Adversarial Network" by Siraj Raval on Youtube

powerpointlabs icon powerpointlabs

This is the project for PowerPointLabs, a productivity add-in for PowerPoint

ppg icon ppg

DirectX 11 Rendering Engine for Learning

pyramid-puzzle-solver icon pyramid-puzzle-solver

This is a puzzle solver created from scratch by myself, with the purpose of practice and fun. If you are looking for a solver for the puzzle below or interested in how the solver was formulated, this page is for you! Disclaimer: I did not create the puzzle.

spacesentinels icon spacesentinels

Promoting education through virtualization - learning to program. Project features a game created in Unreal Engine, written in C++, Javascript and Slate. The game introduces the player to a series of problems with story elements that teaches programming fundamentals in Javascript. This work is done as part of NUS CP3108 under guidance of Professor Martin Henz.

stylegan icon stylegan

StyleGAN - Official TensorFlow Implementation

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